Search Results - "Dai, Jinquan"

The HiBench benchmark suite: Characterization of the MapReduce-based data analysis by Shengsheng Huang, Jie Huang, Jinquan Dai, Tao Xie, Bo Huang

“…The MapReduce model is becoming prominent for the large-scale data analysis in the cloud. In this paper, we present the benchmarking, evaluation and…”
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HYVI: A HYbrid VIrtualization Solution Balancing Performance and Manageability by Dong, Yaozu, Zhang, Xiantao, Dai, Jinquan, Guan, Haibing

“…Virtualization is a building block technology of cloud computing. Software virtualization solutions, such as paravirtualized Memory Management Unit and…”
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Design Patterns for Internet-Scale Services by Jinquan Dai

“…Internet-scale services need new design patterns and programming models for the partitioned data set with many copies that are changed independently. This is a…”
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BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster by Dai, Jason Jinquan, Ding, Ding, Shi, Dongjie, Huang, Shengsheng, Wang, Jiao, Qiu, Xin, Huang, Kai, Song, Guoqiong, Wang, Yang, Gong, Qiyuan, Song, Jiaming, Yu, Shan, Zheng, Le, Chen, Yina, Deng, Junwei, Song, Ge

“…Most AI projects start with a Python notebook running on a single laptop; however, one usually needs to go through a mountain of pains to scale it to handle…”
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Pipelined Execution of Critical Sections Using Software-Controlled Caching in Network Processors by Dai, Jinquan, Li, Long, Huang, Bo

“…To keep up with the explosive internet packet processing demands, modern network processors (NPs) employ a highly parallel, multi-threaded and multi-core…”
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Latency Hiding in Multi-Threading and Multi-Processing of Network Applications by Xiaofeng Guo, Jinquan Dai, Long Li, Zhiyuan Lv, Chandra, P.R.

“…Network processors employ a multithreaded, chip-multiprocessing architecture to effectively hide memory latency and deliver high performance for packet…”
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WarpNet: A Novel Network for IaaS Data Center by Lv Qi, Dai Jinquan

“…Data-intensive processing (such as map-reduce) frameworks are increasingly being used in the cloud computing environment, which makes it critical for IaaS…”
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HDFSbench: Understanding the Efficiency and Bottlenecks of Cloud File Systems by Jinquan Dai, Tao Xie, Shengsheng Huang, Jie Huang

“…We have conducted intensive experiments on an in-house Hadoop cluster using HDFSbench (a file system benchmark tool we build for HDFS). Our experimental…”
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A multicast routing protocol supporting multiple QoS constraints by Jinquan Dai, Hung Keng Pung, Touchai Angchuan

“…The main goal of QoS multicast routing is to construct a multicast connection (usually in the form of a shared tree) meeting multiple QoS constraints…”
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Browser workload characterization for an Ajax-based commercial online service by Shu Xu, Bo Huang, Junyong Ding, Jinquan Dai

“…The transition to cloud computing and SaaS is a disruptive trend where users can conveniently access the services through browsers at any clients. In addition,…”
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Improving virtualization performance and scalability with advanced hardware accelerations by Yaozu Dong, Xudong Zheng, Xiantao Zhang, Jinquan Dai, Jianhui Li, Xin Li, Gang Zhai, Haibing Guan

“…Many advanced hardware accelerations for virtualization, such as Pause Loop Exit (PLE), Extended Page Table (EPT), and Single Root I/O Virtualization (SR-IOV),…”
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QROUTE: an integrated framework for QoS-guaranteed multicast by Jinquan Dai, Hung Keng Pung, Touchai Angchuan

“…We propose QROUTE, an integrated framework for QoS-guaranteed multicast, in which a feasible multicast tree meeting multiple QoS constraints can be constructed…”
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QROUTE: an QoS-guaranteed multicast routing by Dai, Jinquan, Angchuan, Touchai, Pung, Hung Keng

“…In this paper, we propose QROUTE, an integrated framework for QoS-guaranteed multicast routing, in which a feasible multicast tree meeting multiple QoS…”
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